gllvm: Generalized Linear Latent Variable Models

Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.

Getting started

Package details

AuthorJenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Sara Taskinen [aut], David I. Warton [aut], Bert van der Veen [aut]
MaintainerJenni Niku <jenni.m.e.niku@jyu.fi>
LicenseGPL-2
Version1.3.1
URL https://github.com/JenniNiku/gllvm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gllvm")

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gllvm documentation built on July 29, 2021, 1:06 a.m.